All Projects → ajaytech → Headstartpython

ajaytech / Headstartpython

Learn Python Fast With Jupiter Notebook

Projects that are alternatives of or similar to Headstartpython

Ml unsam
Repositorio de la materia Aprendizaje Automático (2do cuatrimestre de 2020)
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Snorkel Superglue
Applying Snorkel to SuperGLUE
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Ml To Predict Bitcoin Prices
ML-to-predict-Bitcoin-Prices
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Python fundamentals
Python fundamentals is a series of tutorials on Basic Python knowledge required to get started in the field of Data Science.
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Statistical Learning Method Lihang
《统计学习方法》,作者李航,本书全面系统地介绍了统计学习的主要内容
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Quickviz
Visualize a pandas dataframe in a few clicks
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
National generation capacity
Data package: national generation capacity
Stars: ✭ 17 (-5.56%)
Mutual labels:  jupyter-notebook
Decentralized games
This is the code for "Decentralized Games" By Siraj Raval
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Tensorflow2 For Absolute Beginners
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Machine Learning June 2018
ML Summer 2018 - June 2018 - I Batch
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Symptoms Tracker
A scalable web app for tracking covid-19-related symptoms amongst confined populations
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Nlp Tutorial
Tutorial for Natural Language Processing
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Curiosity driven goal exploration
Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
E Healthify
App developed for Hack-the-Crisis India.
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Cnn With Xgboost
This repository is codeabout cnn with xgboost
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Tensorflowmnist
Various neural networks on MNIST data using TensorFlow library
Stars: ✭ 17 (-5.56%)
Mutual labels:  jupyter-notebook
Visual Question Answering
📷 ❓ Visual Question Answering Demo and Algorithmia API
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Ml For Compling
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Daily Neural Network Practice 2
Daily Dose of Neural Network that Everyone Needs
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook
Dimensionality Reduction
An idyll post all about dimensionality reduction.
Stars: ✭ 18 (+0%)
Mutual labels:  jupyter-notebook

HeadstartPython

Learn Python Fast With Jupiter Notebook

Table of content

1.Variables

2.Print Statement

3.Data Structure

4.String

5.Control Flow Statements

6.Functions

7.Classes

8.Regex by Rex Dwyer

Kick-off

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

We would be using Jupyter Notebook, sometimes also refered as IPython. IPython is the Python backend to the Jupyter Notebook, which is also known as the kernel, which is an interactive Python shell.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from here

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available. We would be utilizing the Jupiter Notebook for our learning purpose.

To Launch Jupiter From the terminal

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

jupyter notebook

This is a customized and improved version of orignal series of Repo https://github.com/rajathkumarmp

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].